| Mining high-speed data streams P Domingos, G Hulten Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000 | 3163 | 2000 |
| Mining time-changing data streams G Hulten, L Spencer, P Domingos Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001 | 2468 | 2001 |
| Spamming botnets: signatures and characteristics Y Xie, F Yu, K Achan, R Panigrahy, G Hulten, I Osipkov ACM SIGCOMM Computer Communication Review 38 (4), 171-182, 2008 | 583 | 2008 |
| A general method for scaling up machine learning algorithms and its application to clustering P Domingos, G Hulten Proceedings of the Eighteenth International Conference on Machine Learning …, 2001 | 303 | 2001 |
| A general framework for mining massive data streams P Domingos, G Hulten Journal of Computational and Graphical Statistics 12 (4), 945-949, 2003 | 209 | 2003 |
| Catching up with the Data: Research Issues in Mining Data Streams. PM Domingos, G Hulten DMKD, 2001 | 186 | 2001 |
| Application reputation service G Hulten, S Rehfuss, R Franczyk, CA Meek, J Scarrow, A Newman US Patent 8,769,702, 2014 | 128 | 2014 |
| Measuring the engagement level of TV viewers J Hernandez, Z Liu, G Hulten, D DeBarr, K Krum, Z Zhang 2013 10th IEEE international conference and workshops on automatic face and …, 2013 | 104 | 2013 |
| Mining complex models from arbitrarily large databases in constant time G Hulten, P Domingos Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002 | 92 | 2002 |
| Learning at Low False Positive Rates. W Yih, J Goodman, G Hulten CEAS, 2006 | 58 | 2006 |
| VFML–a toolkit for mining high-speed time-changing data streams G Hulten, P Domingos Software toolkit, 51, 2003 | 58 | 2003 |
| Estimating engagement of consumers of presented content JH Rivera, Z Liu, G Hulten, M Conrad, K Krum, D DeBarr, Z Zhang US Patent 8,943,526, 2015 | 48 | 2015 |
| Trends in spam products and methods G Hulten Proc. the First Conference on Email and Anti-Spam, 2004, 2004 | 46 | 2004 |
| Learning from infinite data in finite time P Domingos, G Hulten Advances in neural information processing systems 14, 2001 | 41 | 2001 |
| Learning Bayesian networks from dependency networks: A preliminary study G Hulten, DM Chickering, D Heckerman International Workshop on Artificial Intelligence and Statistics, 141-148, 2003 | 40 | 2003 |
| Mining time-changing data streams P Domingos, G Hulten, L Spencer Proc. of the 2001 ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data …, 2001 | 40 | 2001 |
| Safe file transmission and reputation lookup G Hulten, J Scarrow, I Osipkov, KN Iverson US Patent 8,146,151, 2012 | 34 | 2012 |
| Determining email filtering type based on sender classification R Colvin, C Mills, R McCann, G Hulten, H Katz, E Kruja, X Huang, ... US Patent 8,028,031, 2011 | 28 | 2011 |
| Tutorial on junk e-mail filtering G Hulten, J Goodman The Twenty-First International Conference on Machine Learning (ICML 2004), 2004 | 27 | 2004 |
| Filtering spam e-mail on a global scale G Hulten, J Goodman, R Rounthwaite Proceedings of the 13th international World Wide Web conference on Alternate …, 2004 | 27 | 2004 |
